This workshop will show you how to build a high-performance social network backend based on the open source Neo4j graph database. We will investigate the implementation of a small but working social network backend with simple but powerful APIs to find paths between people and analyze the social graph. Finally, we will show how it outperforms a relational backend by a factor of 1000x or more.
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Many people view topics like Map/Reduce and queue systems as advanced concepts that require in-depth knowledge and time consuming software setup. Gearman is changing all that by making this barrier to entry as low as possible with an open source, distributed job queuing system. This session dives into advanced use cases that demonstrate the power and flexibility of distributed architectures.
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For this ropes course, members of the Envy Labs team will march you through the core concepts of Rails 3 while taking you through the development of a new Rails application. At the end of this course you will come away with a better understanding what’s new in Rails 3, and equally as important, what has changed since Rails 2.
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Moore's Law has run its course, yet despite the growing demands placed
on databases, traditional solutions offer little alternative to vertical
scaling. Come learn step-by-step how to use Apache Cassandra to turn a
cluster of inexpensive commodity servers in to a massively scalable
distributed datastore.
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Are you the 'point' person for your team? Do you have sweaty palms, headaches, and a calendar full of meetings? You may have an affliction called 'manager'. This condition is treatable through analysis and therapy. We'll examine how you may have arrived at this state and how you can once again regain your self-respect and that of your peers. Hear real-life stories of both good and bad leadership.
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Google App Engine is an development & hosting platform that lets you build & deploy web applications on Google's high-traffic infrastructure. You only need to upload your code: no more worrying about machines, storage, scalability! This session introduces attendees to its architecture & various service APIs. Time-permitting we'll go through a simple example using Python.
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We were fortunate this past year to develop two of the larger Django applications out there – in the span of 12 weeks: michaelmoore.com and Santa Fe Institute's santafe.edu. Between the two, these sites have multiple layers of memcached caching, multiple web servers and database servers, integrated site search (Lucene/SOLR and Google GSA), DjangoCMS, and integrations with iCal and Alfresco.
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In this session you will learn how to use the Neo4j Graph Database for persistence in Django web applications. A graph database, such as Neo4j, is a database that models data as a graph data structure with focus on the relationships between entities, and each node as its own entity, rather than the structure of data records. This makes it a good fit for object oriented web frameworks like Django.
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Aside from learning Clojure's syntax and approach to functional programming and concurrency, there's also the more mundane issues: What editor do I use? How to I build large projects? How do I share my work with others? This session will discuss IDEs and plugins, command line build tools, and web sites.
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A non-classified case study that describes how we've built a stack based on MALLET, Hadoop/Cassandra, and Flare/Flex to build a highly scalable system for the U.S. intelligence community: MALLET lends itself to state of the art NLP, Hadoop/Cassandra yield a massively distributed back end, and Flare/Flex provide the tools for creating a great UI/UX capable of performing advanced analysis.
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The need for database systems that scale efficiently has led to many alternatives to the traditional RDBMS. This talk presents an overview of these new non-relational databases, collectively referred to as "NoSQL," followed by an in-depth examination of SourceForge.net's deployment of MongoDB, an open-source NoSQL database.
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WebSockets is an exciting new technology that enables bidirectional communication between web applications and server-side processes. Google's Chrome browser already provides WebSockets and developers can expect to see the technology in other browsers in 2010. This presentation will cover the WebSocket protocol, JavaScript API, and server-side implementations.
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What do open data and open source software have in common? User
rights, licensing, transparency, community, world-changing... open
data shares a lot with the open source movement, but it has new
challenges too. Come learn how open data and open source work
together, and how the open data community is learning from open
source's history and experience.
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jQuery UI is the official jQuery suite of interactions and widgets for building Rich Internet Applications. It makes building web interfaces as refreshingly simple as jQuery has made Ajax and the DOM. As simple as $('<p>Hello, World</p>').dialog();
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Does Python have Design Patterns? You bet! Whatever the misguided meme going around is claiming to the contrary, every field of human endeavor has Patterns, and so of course does Python. This talk shows how and why, recapping what Patterns are all about, Design patterns in particular, and presenting examples of how they work best in Python, both singly and as part of a Language of Patterns.
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No threads, no callbacks, just pure IO scheduling with Ruby 1.9, Fibers, and Eventmachine. All the nice things we love about writing synchronous code, but completely asynchronous under the covers – the best of both worlds. A hands on look at the architecture, mechanics, and involved libraries towards creating the next generation Ruby web-servers.
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Having trouble ensuring that all your machines are provisioned properly? Find your system of bash scripts difficult to maintain? Come meet Chef and see how easy automated system provisioning can be. We'll cover the benefits of using a tool like Chef, how easy it is to get started with Chef Solo, and how you can scale up to hundreds and even thousands of boxes without breaking a sweat.
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Efficient IT infrastructures must hold to several basic properties. Changes must be tracked. Automation must be maximized. Compliance against corporate standards must be preserved. Especially in days of limited resources, how can software help solve this problem? In this presentation, we'll show how Puppet can automate, enforce, and ensure sanity in the modern datacenter.
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How does Twitter analyze its massive dataset? What tools do we use, and where do we focus our analysis?
In this talk, I will discuss our transition from a MySQL-based to a Hadoop-based data infrastructure and our use of Pig (a scripting language built on top of Hadoop) to democratize big-data analysis across the company. I will present concrete examples of interesting analyses at each step.
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Testing is JavaScript's Achilles' heel: the language is powerful with
good library support, but testing practices are cumbersome to
non-existent. This talk demonstrates a set of tools that make
test/behavior driven development in JavaScript as quick and effective
as Java, Ruby, or Python, including aspects unique to
JavaScript such as the browser environment and asynchronous
programming.
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Javascript has become the universal language of the web. Usable on client or server, it can be fast, flexible, and reusable across many sites and applications.
To really master JS you need more than a framework: you need to grok some heavy-duty functional and OO concepts it took from weird languages like Scheme and Self. Come see where these ideas came from, and how to use them in your JS code.
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Apache Traffic Server is an Open Source project implementing a caching HTTP proxy server, donated to the Apache Foundation by Yahoo! We will examine the technical details behind TS, what it's good for, and how you can configure it to accelerate your web traffic.
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Can you successfully write Rails applications in an Enterprise ecosystem full of existing databases, legacy applications and old technologies? Yes, but you may have to use Rails in a different way than usual. We'll show how we used standard Rails tools in just such an way.
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Long-running functions get in the way of distributed or interactive systems. Applying these "lazy component" designs and use-cases to your sequential code will make your APIs more open and easily reusable.
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One piece of software we've found to be particularly useful in scaling our site is Scribe, an open source system for aggregating massive amounts of logging data from thousands of machines, or more generally moving around large amounts of data in an asynchronous and mostly-reliable way.
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Your QA cycle is broken and unit tests aren't enough to fix it. QA takes too long, is too error prone, and never covers as much as we need. To really do QA right, you need automated integration and acceptance testing tools like Cucumber. In this talk, we'll discuss why automated integration testing is a necessity, how you can do it, and why your coworkers and boss will thank you for it.
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This talk will be about what's happening in testing. The general argument is that we're moving away from testing units towards testing functionality through integration testing. Improved mocking libraries, scripted and emulated browsers, fixtures, and frameworks means that we can effectively test that a system works.
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For information on exhibition and sponsorship opportunities at the conference, contact Sharon Cordesse at scordesse@oreilly.com